Data Science, Data Analyst, Data Engineering
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Data Science and Data Analyst Jobs for freshers and experienced, Data related all jobs
Показати більше📈 Аналітичний огляд Telegram-каналу Data Science, Data Analyst, Data Engineering
Канал Data Science, Data Analyst, Data Engineering (@datascienceanddataanalyst) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 13 677 підписників, посідаючи 2 681 місце в категорії Кар'єра та 35 384 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 13 677 підписників.
За останніми даними від 02 серпня, 2025, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 29, а за останні 24 години на 0, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 0%. Протягом перших 24 годин після публікації контент зазвичай збирає N/A% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 0 переглядів. Протягом першої доби публікація в середньому набирає 0 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 0.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Data Science and Data Analyst Jobs for freshers and experienced, Data related all jobs”
Завдяки високій частоті оновлень (останні дані отримано 03 серпня, 2025), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Кар'єра.
13 677
Підписники
Немає даних24 години
-67 днів
+2930 днів
Архів дописів
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📣Harmony Data Hiring 2022 | Any Graduate/Post Graduate | Feshers
Role: Trainee Data Engineer
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📣Tech Mahindra Off Campus Drive For 2020 & 2021 Batch | Last Date: 8 May 2022
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📣Denodo Off Campus Drive For 2021 & 2022 Batch | B.E/B.Tech
Role: Associate Data Engineer
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📣Accenture Hiring Drive For 2019, 2020, 2021, 2022 Batch | Salary: Rs 3.33 LPA
Role: System and Application Services Associate
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Infosys May Off Campus Drive 2022 | B.E/B.Tech/M.E/M.Tech/BCA/MCA/B.Sc/M.Sc/Diploma | Last Date: 1 May 2022
Role: Systems Engineer and Operations Executive.
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📣ANZ Hiring For 2021 Batch | B.E/B.Tech/MCA/M.Tech
Role: Junior Data Engineer – Fresher Graduate
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📣 Recruitment 2022 | Freshers(0-2) | Chennai
Role: Associate Data Analyst
Location: Chennai
Experience: Freshers(0-2)
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📣Indian Railway CRIS Recruitment 2022 | 150 Openings | B.E/B.Tech/M.E/ M.Tech/MCA/B.Sc
Role: Assistant Software Engineer & Assistant Data Analyst
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📣Accenture Hiring 2022 | B.E/B.Tech/M.E/M.tech
Role: Ecosystem Junior Data Engineer
Location: Bangalore
Experience: Freshers(0-2)
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📣Indian Railway CRIS Recruitment 2022 | 150 Openings | B.E/B.Tech/M.E/ M.Tech/MCA/B.Sc
Role: Assistant Software Engineer & Assistant Data Analyst
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📣Star Health Off Campus Deive 2022 | 2022 Batch | Salary: Rs 5 - 7.5 LPA
Role: Software Engineer / Senior Software Engineer / Data Analyst
Location: Chennai, Pune, Hyderabad, Gurgaon
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📣Myntra Hiring 2022 For Data Analyst | Bangalore
Role: Data Analyst
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Zero to Hero in Microsoft Excel: Complete Excel guide 2022
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DATA SCIENCE INTERVIEW QUESTIONS WITH ANSWERS
1. What is a logistic function? What is the range of values of a logistic function?
f(z) = 1/(1+e -z )
The values of a logistic function will range from 0 to 1. The values of Z will vary from -infinity to +infinity.
2. What is the difference between R square and adjusted R square?
R square and adjusted R square values are used for model validation in case of linear regression. R square indicates the variation of all the independent variables on the dependent variable. i.e. it considers all the independent variable to explain the variation. In the case of Adjusted R squared, it considers only significant variables(P values less than 0.05) to indicate the percentage of variation in the model.
Thus Adjusted R2 is always lesser then R2.
3. What is stratify in Train_test_split?
Stratification means that the train_test_split method returns training and test subsets that have the same proportions of class labels as the input dataset. So if my input data has 60% 0's and 40% 1's as my class label, then my train and test dataset will also have the similar proportions.
4. What is Backpropagation in Artificial Neuron Network?
Backpropagation is the method of fine-tuning the weights of a neural network based on the error rate obtained in the previous epoch (i.e., iteration). Proper tuning of the weights allows you to reduce error rates and make the model reliable by increasing its generalization.
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